Relevant bibliographies by topics / Automatic sorting machine

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automatic sorting machine'

Author: Grafiati
Published: 4 June 2025
Last updated: 15 July 2025

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Journal articles on the topic "Automatic sorting machine"

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Prasad, Aashika, Gowtham M, Mohanraman S, and Suresh M. "Automatic Sorting Machine." International Research Journal of Multidisciplinary Technovation 2, no. 1 (2020): 7–12. http://dx.doi.org/10.34256/irjmt2102.

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Businesses around the world automate their outbound profiling and sortation process for an increased productivity. Sorting plays a key role in any industrial automation, particularly in the field of packaging industries. This paper aims at providing significant low-cost automation in packaging industries that calls for sorting and how the implication of pneumatics can yield a desirable solution. The prototype of the automatic sorting machine allows a systematic sorting of the carton boxes corresponding to their sizes using a pneumatic system, which is achieved by using pneumatic cylinders and
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Sugiyama, Masao. "Automatic Sheet Sorting Machine." JAPAN TAPPI JOURNAL 52, no. 1 (1998): 88–93. http://dx.doi.org/10.2524/jtappij.52.88.

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PROF., TAWARE O. H., AJAY VYANKAT DEOKAR, AMOL KRISHNA GHORPADE, and MAYUR GANPAT GHORPADE. "AUTOMATIC FRUIT SORTING MACHINE." JournalNX - A Multidisciplinary Peer Reviewed Journal 3, no. 5 (2017): 60–62. https://doi.org/10.5281/zenodo.1446388.

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The objectives of this study involve the optimize process of sorting machine for a spherical fruits .fruits are today sorted with low efficiency in any country. Thus we innovative fruit sorting machine. With the help of gravity this fruits fall downward in machine. The main objective of this machine is help to farmer for minimize time of fruit sorting and reach market at proper time. https://journalnx.com/
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Sethupathi, P. "Automatic Library Book Sorting Machine." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (2018): 2703–8. http://dx.doi.org/10.22214/ijraset.2018.3600.

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Ketki P. Kshirsagar, Et al. "Automatic Sorting Machine Using PLC and HMI Technique." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10 (2023): 678–83. http://dx.doi.org/10.17762/ijritcc.v11i10.8563.

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The automatic sorter machine using PLC is a system that sorts productsbasedonspecificcriteriasuchas size, weight, or color. The system consists of a programmable logic controller (PLC), sensors, actuators, motors, conveyor system, power supply, programming software, HMI development software, and communication protocols. The sorting process is automated, with the PLC controlling them ovement of products to the sorting stations based on the selected sensors'feedback. The HMI allows the operator to monitor and control the sorting process and displays information such as the status of the machine,
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Chen, Anzhi. "Examination of an Image Identification System for Agricultural Machines Based on Machine Vision." Journal of Combinatorial Mathematics and Combinatorial Computing 119, no. 1 (2024): 143–52. http://dx.doi.org/10.61091/jcmcc119-15.

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As computer and mechanical automation technologies advance, machine vision-based non-destructive testing technology finds use in a multitude of domains. Non-destructive testing technologies can be used on apple sorting equipment to decrease apple damage while simultaneously increasing sorting efficiency. As a result, the apple sorting machine’s image identification system now incorporates machine vision technology. The automatic classification of apple grades is accomplished by gathering, processing, extracting, and computing the contour features of apple photographs using preset sorting level
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Umurzakov, Akramjon, Тalibjan Sabirjanov, Kamoliddin Okyulov, and Kodir Gaparov. "Determination of the optimal amplitude of vibration behavior in the potato sorting machine." E3S Web of Conferences 538 (2024): 01005. http://dx.doi.org/10.1051/e3sconf/202453801005.

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This article is about potato feather sorting machines. There are mechanical and automatic types of potato sorting machines. In turn, there are types of mechanical potato sorting machines in drum, conveyor, roller and sieve types. While automatic sorting machines have laser, ultrotovushli, rengenli, video visual, spectral and optical intelligent sorting machines. Among mechanical sorting machines, vibration sieve-type devices stand out, with simplicity of construction and high performance. Vibration movement in the sorting machine of potato tugs, the working device of which is sieve type, accel
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Du, Hong Wei. "Research on Carrot Automatic Sorting Machine." Applied Mechanics and Materials 741 (March 2015): 66–69. http://dx.doi.org/10.4028/www.scientific.net/amm.741.66.

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Mechanical devices combined with computer vision technology can be used for automatic grading for carrots and other slim fruits and vegetables. We design the mechanical device for carrot intelligent grading machine, which is mainly composed of three parts: two-stage spacer device, chain roller conveyor and linear motors sorting fruit devices. Equipped with staggered grid conveyor belt with baffles and differential belt, the spacer device realizes primary and secondary fruit uniform, which can achieve precise single fruit conveying. The roller conveyor drives carrots rotating into CCD camera fi
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Ren, Xian Ke, Dong Ming Li, Hang Zhang, and Yun Xian Cui. "Automatic Sorting Machine for Cylinder Length." Advanced Materials Research 706-708 (June 2013): 1222–25. http://dx.doi.org/10.4028/www.scientific.net/amr.706-708.1222.

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In order to resolve the problem that is low precision, slow speed and time consuming, which come out when selecting by artificial. This paper developed an automatic selection machine of cylinder length, which use advanced PLC controller to take the place of conventional mechanical control type. Moreover, it employs synchronous controllable automatic loading and automatic material distribution mechanism, greatly improved control precision and efficiency. Save production cost due to use contacting sensors. Rotary disk type and feeding integral type design pattern reduce the complex of mechanism,
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G., Seiphepi, M. Zungeru A., Gaboitaolelwe J., Lebekwe C., and Mtengi B. "Automatic Bell Pepper Colour Detector and Sorting Machine." International Journal of Engineering Research and Technology 13, no. 11 (2020): 3156–66. https://doi.org/10.5281/zenodo.4315274.

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Sorting of products is a very difficult industrial process. Continuous manual sorting is tedious, time-consuming, and creates consistency issues. It is, therefore, admirable for companies to diversify into automation. Automation in the industrial workplace provides the advantages of improving productivity and quality while reducing errors and waste, increasing safety, and adding flexibility and efficiency to the manufacturing process. This paper presents the design and simulation of an automatic colour sensor and sorting machine (ACSSM) that automates grading and separating bell pepper accordi
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Dissertations / Theses on the topic "Automatic sorting machine"

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Valeri, Nicolò. "Virtual Commissioning of a sorting system of an automatic machine for paper roll packaging." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.

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What is happening nowadays is, in all respects, a great industrial revolution, which has radically changed the manufacturing industry sector. The complexity of modern production plants is constantly growing, and the continuous technological progress places an enormous effort on the shoulders of manufacturers to satisfy the requirements set by an increasingly competitive market. Today the validation and testing of an automation system is a demanding task, usually performed in very tight deadlines. Therefore, the use of simulations to verify the automation system early in the design phase can be
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Injante, Hugo, Esteban Gutierrez, and Leonardo Vinces. "A Vibratory Conveying System for Automatic Sorting of Lima Beans through Image Processing." Institute of Electrical and Electronics Engineers Inc, 2020. http://hdl.handle.net/10757/656626.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>In order to comply with lima beans peruvian export standards, this study develops an automatic sorter machine. This system uses vibratory conveying to linearly move the grains and to allow their faces to rotate. In addition, image processing algorithms were used for the detection and rejection of defective lima beans. After performing 2200 sorting tests, an industrial performance with an efficiency of 96.81% in acceptance and 95.26% in product
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Matthews, Brett Alexander. "Probabilistic modeling of neural data for analysis and synthesis of speech." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/50116.

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This research consists of probabilistic modeling of speech audio signals and deep-brain neurological signals in brain-computer interfaces. A significant portion of this research consists of a collaborative effort with Neural Signals Inc., Duluth, GA, and Boston University to develop an intracortical neural prosthetic system for speech restoration in a human subject living with Locked-In Syndrome, i.e., he is paralyzed and unable to speak. The work is carried out in three major phases. We first use kernel-based classifiers to detect evidence of articulation gestures and phonological attributes
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Chang, Michelle Sueway. "Design of an automated sorting and orienting machine for electronic pins." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78162.

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Thesis (M. Eng. in Manufacturing)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 93-94).<br>At the power electronics manufacturer SynQor, the printed circuit board (PCB) assembly line is fully automated with the exception of the step which inserts electronic pins into the PCBs. Past attempts to automate this process have resulted in two unreliable machines that are not in use on the production line. Thus, electronic pin insertion is currently a manual process. The design proposed
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Koslav, Maria B. "Development of a machine vision based oyster meat sorter." Thesis, Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/53225.

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Oyster meats are currently sorted by hand using volume as the sorting parameter. Hand grading is inaccurate, time consuming and costly. Previous research on physical properties of oyster meats showed a high correlation between projected area of oyster meats and their volume thus allowing the use of projected area measurements as a sorting criterion. A machine vision based oyster meat sorting machine was developed to mechanize the sorting process. The machine consists of a dark conveyor belt transporting singulated oysters through a grading station and then along a row of fast acting water jet
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Malmgren, Henrik. "Revision of an artificial neural network enabling industrial sorting." Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-392690.

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Convolutional artificial neural networks can be applied for image-based object classification to inform automated actions, such as handling of objects on a production line. The present thesis describes theoretical background for creating a classifier and explores the effects of introducing a set of relatively recent techniques to an existing ensemble of classifiers in use for an industrial sorting system.The findings indicate that it's important to use spatial variety dropout regularization for high resolution image inputs, and use an optimizer configuration with good convergence properties. T
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Dib, Abdou. "Observation et Commande de la Machine Asynchrone." Phd thesis, Université de Caen, 2012. http://tel.archives-ouvertes.fr/tel-01064016.

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Le travail de recherche effectu'e dans cette thèse a été principalement consacré aux problèmes d'observation et de commande des moteurs asynchrones sans capteurs mécaniques. Deux contributions principale ont été faites en exploitant judicieusement le concept de grand gain. La première contribution est un observateur du type grand gain qui permet de réaliser une estimation relativement pr'ecise des variables d'état mécaniques et magnétiques des moteurs asynchrones à partir des mesures disponibles des courants et tensions statoriques. Le gain d'observation a été judicieusement modifié pour des c
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Hajji, Sofien. "Modélisation, observation et commande de la machine asynchrone." Phd thesis, Université de Caen, 2009. http://tel.archives-ouvertes.fr/tel-01058792.

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Les travaux développés dans ce rapport traitent de la modélisation, de l'observation et de la commande avec et sans capteur de vitesse de la machine asynchrone. Tout d'abord, un observateur non linéaire de type grand gain a été synthétisé en vue de l'estimation de quelques grandeurs électriques et mécaniques de la machine. Ensuite, nous proposons une nouvelle loi de commande avec retour d'état incorporant un observateur du type grand gain pour deux classes de systèmes non linéaires uniformément observables et commandables incluant le modèle du moteur asynchrone. La synthèse de cette loi de com
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Homdim, Tchuenteu Joel Landry. "Analysis and dynamic modeling of intermediate distributors for balancing of production lines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/18626/.

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The work carried out at the company Pulsar Engineering s.r.l, and discussed in this thesis, focuses on the construction of a model for the dynamic simulation of the operations of a machine that allows feeding and sorting/merging in the tissue sector called REDS INTERMEDIATE. The goal is to derive a powerful dynamic model that can simulate a large range of REDS intermediate that could work in different existing operating modes (DIVERTER, COMBINER and By-pass modes) and containing all existing operating strategies (REVOLVER and TETRIS strategies). This was possible with the aid of a powerful s
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Liao, Hsien-Chou, and 廖憲洲. "Design an Automatic Sorting Machine Using Makeblock." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/6sv52r.

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碩士<br>國立雲林科技大學<br>電機工程系<br>105<br>The purpose of this thesis is to design an automatic sorting machine(ASM).Use the Makeblock material to build structure of the ASM.The Makeblock material has Maleblock Orion,a step motor,four servo motors,some DC motors and some machine elements;This study uses Makeblock Orion as the motion control kernel.The step motors could control the linear slide for moving precisely.Construct the four-axis robot arm using some servo motors,some DC motors and some metallic elements.For sorting and moving product from point to point;The system uses RS232 communication betw
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Books on the topic "Automatic sorting machine"

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Canada. Dept. of Fisheries and Oceans. Report on the Development of an Automated Fish Sorting System Using Machine Vision. s.n, 1988.

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Canada. Dept. of Fisheries and Oceans. Dry and wet testing of an automated fish sorting system which uses machine vision. s.n, 1988.

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Automatic, Mechanical, Punching, Counting, Sorting, Tabulating and Printing Machines, Adaptable to Various Lines of Accounting and Statistical Work Essential for Public Service Corporations, with Particular Reference to Improvements in the Art Of... Creative Media Partners, LLC, 2021.

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Automatic, Mechanical, Punching, Counting, Sorting, Tabulating and Printing Machines, Adaptable to Various Lines of Accounting and Statistical Work Essential for Public Service Corporations, with Particular Reference to Improvements in the Art Of... Creative Media Partners, LLC, 2021.

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Book chapters on the topic "Automatic sorting machine"

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Devendra Kumar, S. M., S. Prashanth, and Rani Medhashree. "Automatic Plastic Sorting Machine Using Audio Wave Signal." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8542-5_98.

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Xie, Yu, and Zhongyuan Zhang. "Development of Automatic Material Sorting Machine Based on PLC." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98776-7_33.

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Nandi, C. S., B. Tudu, and C. Koley. "Machine Vision Based Techniques for Automatic Mango Fruit Sorting and Grading Based on Maturity Level and Size." In Sensing Technology: Current Status and Future Trends II. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02315-1_2.

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Pollini, Alessandro, and Sebastiano Bagnara. "Towards Human–Machine Partnership: Ergonomics and Design for a Fruit Sorting System." In Human-Automation Interaction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-10780-1_34.

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Rapolti, Laszlo, Rodica Holonec, Laura Grindei, and Oana Viman. "Automated Sorting of Pharmaceutical Waste Using Machine Vision Technology." In IFMBE Proceedings. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-93564-1_45.

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Ji, Min. "Analysis of Machine Failure Sorting Based on Directed Graph and DEMATEL." In Advanced Manufacturing and Automation VIII. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2375-1_46.

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Pham, Thuy T. "Spike Sorting: Application to Motor Unit Action Potential Discrimination." In Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98675-3_6.

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Janakiraman, Ashok Kumar, Kushagra Khanna, and Sundarapandian Ramkanth. "Role of Machine Learning in Automated Detection and Sorting of Pharmaceutical Formulations." In Artificial intelligence in Pharmaceutical Sciences. CRC Press, 2023. http://dx.doi.org/10.1201/9781003343981-7.

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Blasco, J., N. Aleixos, S. Cubero, F. Albert, D. Lorente, and J. Gómez-Sanchis. "In-line Sorting of Processed Fruit Using Computer Vision." In Intelligent Data Analysis for Real-Life Applications. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1806-0.ch007.

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Nowadays, there is a growing demand for quality fruits and vegetables that are simple to prepare and consume, like minimally processed fruits. These products have to accomplish some particular characteristics to make them more attractive to the consumers, like a similar appearance and the total absence of external defects. Although recent advances in machine vision have allowed for the automatic inspection of fresh fruit and vegetables, there are no commercially available equipments for sorting of minority processed fruits, like arils of pomegranate (Punica granatum L) or segments of Satsuma mandarin (Citrus unshiu) ready to eat. This work describes a complete solution based on machine vision for the automatic inspection and classification of these fruits based on their estimated quality. The classification is based on morphological and colour features estimated from images taken in-line, and their analysis using statistical methods in order to grade the fruit into commercial categories.
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Lin, Jin, Weiting He, Zeqin Li, and Xiangli Mo. "Courier Path Planning System Based on Automated Guided Vehicles." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240403.

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With the arrival of the digital era, the logistics industry pressure surge, the traditional logistics industry, high cost, low efficiency has been unable to meet the needs of modern logistics. There is an urgent need for intelligent logistics equipment to improve the efficiency of express operation. Automated Guided Vehicles (Automated Guided Vehicles, AGV) as one of the key equipments in the intelligent logistics system, plays an important role in reducing cost and improving efficiency. In this paper, this paper design a sorting system based on AGV path planning, adopting algorithms such as sliding filter, Kalman filter, breadth-first (BFS) search method, etc., and obtaining its own state through encoding motors, gyroscopes, ultrasonic arrays and feeding back to the upper computer ROS system, which obtains images to recognize the express delivery information through the camera, confirms its own position through machine vision and multi-sensor fusion, and makes automatic Navigation trolley AGV path planning to achieve automatic identification of courier information, automatic classification and transportation to the target location, and automatic return to the starting point. Through testing, it is proved that this design can complete the recognition of the target QR code and AGV path planning within the range of 1 meter.
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Conference papers on the topic "Automatic sorting machine"

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Xiong, Zihui. "Automatic sorting system based on image classification." In Third International Conference on Machine Vision, Automatic Identification and Detection, edited by Renchao Jin. SPIE, 2024. http://dx.doi.org/10.1117/12.3036414.

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Ahmed, Khalil, Kajal, Mithilesh Kumar Dubey, and Devendra Kumar Pandey. "Machine Learning Enabled System Architecture for Automatic Grading and Sorting of Walnut Fruits: A Review." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10739280.

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Li, Hongming, Ye Ding, and Mingyu Shao. "Machine vision-based sorting method for precision industrial components." In 2024 International Conference on Computer Vision, Robotics and Automation Engineering, edited by Qiang Cheng and Lei Chen. SPIE, 2024. http://dx.doi.org/10.1117/12.3041660.

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Soni, Dhyana, Mit Swadas, Hetal Gaudani, and Jay Shah. "Automated Email Sorting in Organizations: A Machine Learning based Multi-Class Classification System." In 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2024. https://doi.org/10.1109/icacrs62842.2024.10841764.

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Iqbal, Imam M., Xinyu Wang, Isabell Viedt, and Leonhard Urbas. "Leveraging Machine Learning for Real-Time Performance Prediction of Near Infrared Separators in Waste Sorting Plant." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.130911.

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Many small and medium enterprises (SME) often fail to fully utilize the data they collect due to a lack of technical expertise. The ecoKI platform, a low-code solution that simplifies machine learning application for SMEs, showed a promising answer to the challenge. This study explores the application of ecoKI platform to design process monitoring tools for waste sorting plants. NIR separator data were processed through ecoKI�s building blocks to train two neural network architectures�MLP and LSTM�for predicting NIR separation efficiency. The results showed that the models accurately predicted
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Umbay, Angelie L., Aldrin D. Calderon, Edward B. Ang, Ricky D. Umali, and Jaime P. Honra. "Development and Implementation of a 6-DOF Robotic Arm with Machine Vision for Sorting Application." In 2024 3rd International Conference on Automation, Robotics and Computer Engineering (ICARCE). IEEE, 2024. https://doi.org/10.1109/icarce63054.2024.00027.

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Liang, Tian-Yang, Fei Zhong, Xin Yuan, Di Yao, Nian Yue, and Zhong-Wei Cheng. "Express Automatic Sorting Machine." In 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016). Atlantis Press, 2017. http://dx.doi.org/10.2991/mme-16.2017.99.

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Haque, Sabrina, Samira Binte Khair, Mahib Sadman, et al. "Automatic Product Sorting and Packaging System." In 2023 15th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2023. http://dx.doi.org/10.1109/ihmsc58761.2023.00046.

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Pavithra, V., R. Pounroja, and B. Sathya Bama. "Machine vision based automatic sorting of cherry tomatoes." In 2015 2nd International Conference on Electronics and Communication Systems (ICECS). IEEE, 2015. http://dx.doi.org/10.1109/ecs.2015.7124907.

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Sakunkawinkorn, Krid, Suwat Sopitpan, Natapon Tansangworn, and Nattapol Damrongplasit. "Towards Digital Twin Implementation of an Automatic Sorting Machine." In 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE, 2022. http://dx.doi.org/10.1109/icce-asia57006.2022.9954656.

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Reports on the topic "Automatic sorting machine"

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Searcy, Stephen W., and Kalman Peleg. Adaptive Sorting of Fresh Produce. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568747.bard.

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This project includes two main parts: Development of a “Selective Wavelength Imaging Sensor” and an “Adaptive Classifiery System” for adaptive imaging and sorting of agricultural products respectively. Three different technologies were investigated for building a selectable wavelength imaging sensor: diffraction gratings, tunable filters and linear variable filters. Each technology was analyzed and evaluated as the basis for implementing the adaptive sensor. Acousto optic tunable filters were found to be most suitable for the selective wavelength imaging sensor. Consequently, a selectable wave
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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti
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Health hazard evaluation report: HETA-2008-0293-3132, ergonomic evaluation of automatic flat sorting machines - Colorado. U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, 2011. http://dx.doi.org/10.26616/nioshheta200802933132.

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